Saved in:
| Main Author: | Howard, Luke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.10790 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations
by: Fuengfusin, Ninnart, et al.
Published: (2024)
by: Fuengfusin, Ninnart, et al.
Published: (2024)
AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization
by: Cranney, Caleb, et al.
Published: (2025)
by: Cranney, Caleb, et al.
Published: (2025)
Learning Modular Exponentiation with Transformers
by: Africa, David Demitri, et al.
Published: (2025)
by: Africa, David Demitri, et al.
Published: (2025)
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2022)
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2022)
Engineering Verifiable Modularity in Transformers via Per-Layer Supervision
by: Kerce, J. Clayton
Published: (2026)
by: Kerce, J. Clayton
Published: (2026)
Adversarially Robust Decision Transformer
by: Tang, Xiaohang, et al.
Published: (2024)
by: Tang, Xiaohang, et al.
Published: (2024)
Neural Organ Transplantation (NOT): Checkpoint-Based Modular Adaptation for Transformer Models
by: Al-Zuraiqi, Ahmad
Published: (2026)
by: Al-Zuraiqi, Ahmad
Published: (2026)
Data-Aware Random Feature Kernel for Transformers
by: Farzam, Amirhossein, et al.
Published: (2026)
by: Farzam, Amirhossein, et al.
Published: (2026)
Power Transformer Fault Prediction Based on Knowledge Graphs
by: Wang, Chao, et al.
Published: (2024)
by: Wang, Chao, et al.
Published: (2024)
Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning
by: Li, Changyu, et al.
Published: (2026)
by: Li, Changyu, et al.
Published: (2026)
A Robust PPO-optimized Tabular Transformer Framework for Intrusion Detection in Industrial IoT Systems
by: She, Yuanya
Published: (2025)
by: She, Yuanya
Published: (2025)
METHOD: Modular Efficient Transformer for Health Outcome Discovery
by: Qian, Linglong, et al.
Published: (2025)
by: Qian, Linglong, et al.
Published: (2025)
Beyond Autoregressive RTG: Conditioning via Injection Outside Sequential Modeling in Decision Transformer
by: Wang, Yongyi, et al.
Published: (2026)
by: Wang, Yongyi, et al.
Published: (2026)
Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials
by: Furuta, Hiroki, et al.
Published: (2024)
by: Furuta, Hiroki, et al.
Published: (2024)
AI-driven Transformer Model for Fault Prediction in Non-Linear Dynamic Automotive System
by: Kumar, Priyanka
Published: (2024)
by: Kumar, Priyanka
Published: (2024)
FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention
by: Dai, Huangliang, et al.
Published: (2025)
by: Dai, Huangliang, et al.
Published: (2025)
Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention
by: Guo, Zhenyu, et al.
Published: (2025)
by: Guo, Zhenyu, et al.
Published: (2025)
How a Bit Becomes a Story: Semantic Steering via Differentiable Fault Injection
by: Haider, Zafaryab, et al.
Published: (2025)
by: Haider, Zafaryab, et al.
Published: (2025)
Robust Basis Spline Decoupling for the Compression of Transformer Models
by: De Jonghe, Joppe, et al.
Published: (2026)
by: De Jonghe, Joppe, et al.
Published: (2026)
Characterizing the Fault Response of the Intel Neural Compute Stick 2 Under Single-Pulse Electromagnetic Fault Injection
by: Kučerák, Štefan, et al.
Published: (2026)
by: Kučerák, Štefan, et al.
Published: (2026)
FaultXformer: A Transformer-Encoder Based Fault Classification and Location Identification model in PMU-Integrated Active Electrical Distribution System
by: Thakur, Kriti, et al.
Published: (2026)
by: Thakur, Kriti, et al.
Published: (2026)
Deep Multi-Manifold Transformation Based Multivariate Time Series Fault Detection
by: Liu, Hong, et al.
Published: (2024)
by: Liu, Hong, et al.
Published: (2024)
Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism
by: Mirzaeibonehkhater, Marzieh, et al.
Published: (2024)
by: Mirzaeibonehkhater, Marzieh, et al.
Published: (2024)
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process
by: Labbaf-Khaniki, Mohammad Ali, et al.
Published: (2024)
by: Labbaf-Khaniki, Mohammad Ali, et al.
Published: (2024)
Transformers Learn Robust In-Context Regression under Distributional Uncertainty
by: Cao, Hoang T. H., et al.
Published: (2026)
by: Cao, Hoang T. H., et al.
Published: (2026)
Transformer Circuit Faithfulness Metrics are not Robust
by: Miller, Joseph, et al.
Published: (2024)
by: Miller, Joseph, et al.
Published: (2024)
Fast Byte Latent Transformer
by: Kallini, Julie, et al.
Published: (2026)
by: Kallini, Julie, et al.
Published: (2026)
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
by: Gu, Shangding, et al.
Published: (2025)
by: Gu, Shangding, et al.
Published: (2025)
Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM
by: Li, Bingbing, et al.
Published: (2024)
by: Li, Bingbing, et al.
Published: (2024)
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2022)
by: Chen, Qian, et al.
Published: (2022)
Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment
by: Rahman, Aamer Abdul, et al.
Published: (2024)
by: Rahman, Aamer Abdul, et al.
Published: (2024)
Transformers from Diffusion: A Unified Framework for Neural Message Passing
by: Wu, Qitian, et al.
Published: (2024)
by: Wu, Qitian, et al.
Published: (2024)
FedModule: A Modular Federated Learning Framework
by: Chen, Chuyi, et al.
Published: (2024)
by: Chen, Chuyi, et al.
Published: (2024)
Dropout Robustness and Cognitive Profiling of Transformer Models via Stochastic Inference
by: Caiado, Antônio Junior Alves, et al.
Published: (2026)
by: Caiado, Antônio Junior Alves, et al.
Published: (2026)
Few-Shot Class Incremental Learning via Robust Transformer Approach
by: Paeedeh, Naeem, et al.
Published: (2024)
by: Paeedeh, Naeem, et al.
Published: (2024)
Conformal Transformations for Symmetric Power Transformers
by: Kumar, Saurabh, et al.
Published: (2025)
by: Kumar, Saurabh, et al.
Published: (2025)
FairNVT: Improving Fairness via Noise Injection in Vision Transformers
by: Tang, Qiaoyue, et al.
Published: (2026)
by: Tang, Qiaoyue, et al.
Published: (2026)
Transformers Can Achieve Length Generalization But Not Robustly
by: Zhou, Yongchao, et al.
Published: (2024)
by: Zhou, Yongchao, et al.
Published: (2024)
POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution
by: Saxena, Nripsuta Ani, et al.
Published: (2025)
by: Saxena, Nripsuta Ani, et al.
Published: (2025)
DeepFilter: A Transformer-style Framework for Accurate and Efficient Process Monitoring
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
Similar Items
-
Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations
by: Fuengfusin, Ninnart, et al.
Published: (2024) -
AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization
by: Cranney, Caleb, et al.
Published: (2025) -
Learning Modular Exponentiation with Transformers
by: Africa, David Demitri, et al.
Published: (2025) -
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2022) -
Engineering Verifiable Modularity in Transformers via Per-Layer Supervision
by: Kerce, J. Clayton
Published: (2026)